Alternatives · MCP Servers
Jupyter MCP Server alternatives
Looking for an alternative to Jupyter MCP Server? Below are the mcp servers in our index that do a similar job — open-source options are ranked by real maintained adoption (GitHub stars and recent commit activity), never by sponsorship. Jupyter MCP Server is open source, so the list below includes both other self-hostable projects and commercial products.
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Open source · 1.3k stars · Python · BSD-3-Clause · updated Sep 2026
Open-source alternatives to Jupyter MCP Server
— Jupyter MCP Server is written primarily in Python; MCP Reference Servers in TypeScript.
— Jupyter MCP Server is written primarily in Python; context7 in TypeScript.
— Jupyter MCP Server is written primarily in Python; chrome-devtools-mcp in TypeScript.
— Jupyter MCP Server is written primarily in Python; Playwright MCP in TypeScript.
— Jupyter MCP Server is written primarily in Python; github-mcp-server in Go.
— Licensing differs: Jupyter MCP Server is BSD-3-Clause, MCP for Blender (blender-mcp) is MIT.
— Jupyter MCP Server is written primarily in Python; n8n-mcp in TypeScript.
— Jupyter MCP Server is written primarily in Python; MCP Toolbox for Databases in Go.
— Jupyter MCP Server is written primarily in Python; xiaohongshu-mcp in Go.
— Jupyter MCP Server is written primarily in Python; Framelink MCP for Figma in TypeScript.
Frequently asked
- What is the best alternative to Jupyter MCP Server?
- MCP Reference Servers is the most widely-adopted open-source alternative in our index (91k GitHub stars). The full ranked list is above — the best fit depends on your language, license, and budget.
- Is there a free or open-source alternative to Jupyter MCP Server?
- Yes. MCP Reference Servers, context7, and chrome-devtools-mcp are open-source mcp servers you can self-host for free — you still pay for the infrastructure you run them on and any model or API usage. See the ranked open-source list above.
- How are these Jupyter MCP Server alternatives ranked?
- Every product in the mcp servers category is a candidate. Open-source alternatives are ranked by maintained adoption — GitHub stars plus recent commit activity — so you see what's genuinely used, not abandoned. Commercial products are listed separately and alphabetically, because stars don't measure commercial adoption. Sponsored placement is always labeled and never affects the ranking.